SnakeStrike
importedsoftware/snakestrike
A Low-cost Open-source High-speed Multi-camera Motion Capture System.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- gwjensen.github.io/SnakeStrike
- Repository
- github.com/gwjensen/SnakeStrike
- Documentation
- unknown
- Tags
- animal-movement · animal-science · animal-tracking · bioinformatics · computer-vision · high-performance · high-speed-imaging · low-cost · motion-tracking · multi-camera · multi-camera-tracker · multi-camera-tracking · snakes · tracking · tracking-algorithm · triangulation
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Circuitscape.jlanimal-movement
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- DeepPredictiveMotionTrackingmotion-tracking
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- SSVEPcharacterizationlow-cost
Data and code for the metrological characterization of a low-cost wearable brain-computer interface
- bio-forgebioinformatics · high-performance
A high-performance, pure Rust toolkit for standardizing and preparing biomolecular systems (proteins & nucleic acids). It heals missing atoms, resolves protonation states, adds solvation, and…
- biodynamohigh-performance
BioDynaMo is a high-performance and modular, agent-based simulation platform.
- IronFlowtracking
📳 IronFlow: Cross-platform mobile app for strength training progress tracking
- api.github.com/repos/gwjensen/SnakeStrikeretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2020-09-28, 113 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/49.json→ .entries["snakestrike"]
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